Navigating the World of AI Models in .NET: From Local Development to the Cloud

This session will take you through the fascinating journey of integrating AI models within .NET applications. We'll start with an introduction to various AI models, including Phi-3, and proceed with a practical scenario: a Winform Chat application with a .NET API Backend, leveraging Aspire for orchestration and telemetry.
You'll learn how to enhance your application with Semantic Kernel to support chat capabilities using Phi-3 locally, transition to Azure AI for cloud deployment, and expand functionalities with Phi-3 Vision for image analysis and GPT-4o for advanced chat interactions.
Additionally, we'll integrate RAG capabilities to connect the chat with a real database.
Resources:
Phi-3 ONNX C# Blog: aka.ms/PHI-3ON...
Event Collection: aka.ms/dotnetF...
AI Challenge: aka.ms/dotnetF...
Learning Path: aka.ms/dotnetF...
Playlist: aka.ms/dotnetF...
Repo: aka.ms/dotnetF...
Survey: aka.ms/dotnetF...
Featuring: Bruno Capuano
#dotnet #ai

[@lucademarco5969]

Very nice! Where can we get the source code for the rag example? Thanks in advance!

[@davidbrillon3825]

Very informative. How can we get the source code?